Chalk Sandbox SDK

Python SDK for the Chalk Sandbox gRPC service. Create sandboxes, execute commands, and stream output over bidirectional gRPC streams.

Contributor note: for testing deployed functions against local chalkcompute or local chalk-remote-call-python changes, see local-sdk-remote-call-testing.md.

Install

pip install grpcio protobuf

Quick start

from chalkcompute import SandboxClient

with SandboxClient.from_env() as client:
    # Create a sandbox from a pre-built image
    sandbox = client.create(image="ubuntu:latest")

    # Run a command
    result = sandbox.exec("echo", "hello world")
    print(result.stdout_text)  # "hello world"
    print(result.exit_code)    # 0

    # Clean up
    sandbox.terminate()

Declarative images

Build custom container images with a fluent API instead of writing Dockerfiles. The image spec is serialized as protobuf and transmitted to the sandbox service, which builds and caches the image before starting the container.

from chalkcompute import Image, SandboxClient

# Build a data-science image declaratively
img = (
    Image.debian_slim()
    .pip_install(["pandas", "numpy", "scikit-learn"])
    .run_commands(
        "apt-get update && apt-get install -y git curl",
    )
    .workdir("/home/user/app")
    .env({"PYTHONDONTWRITEBYTECODE": "1"})
)

with SandboxClient.from_env() as client:
    sandbox = client.create(image=img)
    result = sandbox.exec("python", "-c", "import pandas; print(pandas.__version__)")
    print(result.stdout_text)
    sandbox.terminate()

Base images

# Arbitrary base image
img = Image.base("node:25-trixie-slim")

# Convenience: python + debian slim
img = Image.debian_slim()  # python:3.14-slim-trixie

# From an existing Dockerfile (contents are inlined, so you can chain more steps)
img = Image.from_dockerfile("Dockerfile").pip_install(["extra-dep"])

Build steps

img = (
    Image.debian_slim()
    # Install Python packages
    .pip_install(["requests", "flask"])

    # Install from a requirements.txt (read locally, inlined into the spec)
    .pip_install_from_requirements("requirements.txt")

    # Run shell commands (each becomes a Docker RUN layer)
    .run_commands(
        "apt-get update && apt-get install -y git",
        "mkdir -p /app/data",
    )

    # Add local files into the image
    .add_local_file("config.yaml", "/app/config.yaml")
    .add_local_file("entrypoint.sh", "/app/entrypoint.sh", mode=0o755)
    .add_local_dir("src", "/app/src")

    # Raw Dockerfile instructions
    .dockerfile_commands(["EXPOSE 8080", "HEALTHCHECK CMD curl -f http://localhost:8080/"])

    # Image-level configuration
    .workdir("/app")
    .env({"FLASK_APP": "app:create_app"})
    .entrypoint(["/app/entrypoint.sh"])
    .cmd(["serve"])
)

Immutable composition

Each builder method returns a new Image, so intermediate images can be shared:

base = Image.debian_slim().pip_install(["requests"])

# Two different images that share the same base
api_image = base.pip_install(["flask"]).workdir("/api")
worker_image = base.pip_install(["celery"]).workdir("/worker")

api_sandbox = client.create(image=api_image)
worker_sandbox = client.create(image=worker_image)

api_sandbox.terminate()
worker_sandbox.terminate()

Connecting

from chalkcompute import SandboxClient
import grpc

# Insecure (local dev)
client = SandboxClient("localhost:50051")

# With TLS
creds = grpc.ssl_channel_credentials()
client = SandboxClient("sandbox.example.com:443", credentials=creds)

# As a context manager
with SandboxClient("localhost:50051") as client:
    ...

Rotating workload identity

The SDK can use a directly usable Chalk JWT from a rotating token file instead of a client ID and secret:

export CHALK_WEB_IDENTITY_TOKEN_FILE=/var/run/secrets/chalk/identity-token
export CHALK_API_SERVER=https://api.chalk.ai

Each SDK client caches the token for the shorter of one hour or half of the token's remaining lifetime from its exp claim, then re-reads the file on its next authenticated operation. Tokens without exp use the one-hour limit. Changing the configured file path bypasses the cache. The JWT's environment_id claim selects the environment unless CHALK_ENVIRONMENT or CHALK_ENVIRONMENT_ID is set explicitly. Queued function calls additionally require CHALK_GRPC_ENGINE, because identity JWTs do not contain engine-routing data.

Workload identity federation

Use the authenticated Connect client to mint a short-lived OIDC token for a third-party workload identity provider. For example, with Snowflake configured to trust Chalk's issuer and JWKS:

from chalkcompute import ConnectClient

token = ConnectClient().get_workload_identity_token("snowflakecomputing.com")

The token is scoped to the active Chalk environment. Its audience is the value passed to get_workload_identity_token, and its signing key is published by the Chalk API server at /.well-known/jwks.json.

Evaluations

Create a reusable evaluation by pinning a completed dataset revision to a deployed task function and one or more deployed scorer functions. A dataset name resolves to its latest revision when the evaluation is created, and the resolved revision is then pinned. Function parameters bind to dataset columns by name; scorers may additionally declare output and trace parameters.

import chalkcompute as cc

dataset = cc.DatasetRevisionRef(
    dataset_name="support_goldens",
)

@cc.function(name="support-answer")
def answer(input: str) -> str:
    return call_support_model(input)

@cc.function(name="response-quality")
def response_quality(
    input: str, output: str
) -> list[cc.EvaluationScorerResult]:
    brand_score, conciseness_score, details = score_response(
        input=input, output=output
    )
    return [
        cc.EvaluationScorerResult(
            name="brand-alignment",
            score=brand_score,
            metadata={"details": details},
        ),
        cc.EvaluationScorerResult(
            name="conciseness",
            score=conciseness_score,
        ),
    ]

evaluation = cc.Evaluation.create(
    "Customer Support Chatbot",
    dataset=dataset,
    task=answer,
    scorers=[response_quality],
    metadata={"suite": "release"},
)

run = evaluation.run(metadata={"git_sha": "abc123"}).wait()
print(run.status, run.result_dataset)

@cc.function deploys synchronously, so the direct handles above already have immutable function version IDs by the time Evaluation.create runs. Existing functions can instead be attached by reference:

evaluation = cc.Evaluation.create(
    "Customer Support Chatbot",
    dataset=dataset,
    task=cc.RemoteFunction.from_name("support-answer"),
    scorers=[cc.RemoteFunction.from_id("fn_brand_alignment_v2")],
)

RemoteFunction.from_name resolves the latest version at lookup time; evaluation creation then pins that version. An imperative RemoteFunction must be explicitly deployed before it can be used in an evaluation.

Scorers may return a numeric scalar, one EvaluationScorerResult, or a list[EvaluationScorerResult]. Returning a list lets one scorer emit multiple named metrics from shared computation; an empty list emits no scores for that row. Each result carries a required metric name, a normalized score, and optional row-level JSON-serializable metadata. The return annotation declares the Arrow schema, and the class-level Arrow hooks handle nested serialization, so the generic function runtime does not need scorer-specific behavior.

Sandbox lifecycle

# Create with resource limits
sandbox = client.create(
    image="ubuntu:latest",
    cpu="2",
    memory="4Gi",
    env={"DEBIAN_FRONTEND": "noninteractive"},
    chalk_identity=True,
)

# List all sandboxes
for info in client.list():
    print(f"{info.id} {info.status} {info.name}")

# Get a handle to an existing sandbox by ID
existing_sandbox = client.get(id="550e8400-e29b-41d4-a716-446655440000")

# Fetch info from server
info = existing_sandbox.refresh()  # force re-fetch
print(info.status)

# Terminate, optionally with a grace period
sandbox.terminate()
existing_sandbox.terminate(grace_period_seconds=30)

Set chalk_identity=True to give the sandbox a platform-managed Chalk identity. The sandbox receives CHALK_WEB_IDENTITY_TOKEN_FILE and the Chalk API/environment settings it needs to authenticate without caller credentials being copied into the workload.

Executing commands

Run and wait

result = sandbox.exec("ls", "-la", "/tmp")
for line in result.stdout:
    print(line)
for line in result.stderr:
    print(f"ERR: {line}")
print(f"exit code: {result.exit_code}")

# Or get the full text at once
print(result.stdout_text)
print(result.stderr_text)

Stream output in real time

for event in sandbox.exec_stream("make", "build", workdir="/app"):
    if event.stdout:
        print(event.stdout, end="")
    if event.stderr:
        print(event.stderr, end="", file=sys.stderr)
    if event.is_exited:
        print(f"\nDone: exit code {event.exit_code}")

Interactive processes (stdin + signals)

process = sandbox.exec_start("bash")

process.write_stdin("echo hello\n")
process.write_stdin("exit\n")
process.close_stdin()

for event in process.output():
    if event.stdout:
        print(event.stdout, end="")

Send signals to running processes:

import signal

process = sandbox.exec_start("sleep", "300")
process.send_signal(signal.SIGTERM)
result = process.wait()

Options

All exec methods accept the same keyword arguments:

result = sandbox.exec(
    "python", "train.py",
    workdir="/app",                     # working directory
    timeout_secs=3600,                  # kill after 1 hour
    env={"CUDA_VISIBLE_DEVICES": "0"},  # environment variables
)

Examples

Clone a GitHub repo into a sandbox

from chalkcompute import SandboxClient

client = SandboxClient.from_env()
sandbox = client.create(image="ubuntu:latest")

# Install git
sandbox.exec("apt-get", "update")
sandbox.exec("apt-get", "install", "-y", "git")

# Clone
result = sandbox.exec(
    "git", "clone", "https://github.com/chalk-ai/chalk.git", "/workspace/chalk"
)
if result.exit_code != 0:
    print(f"Clone failed: {result.stderr_text}")
else:
    # List what we got
    result = sandbox.exec("ls", "-la", "/workspace/chalk")
    for line in result.stdout:
        print(line)

sandbox.terminate()
client.close()

Spawn an OpenCode agent in a sandbox

OpenCode is a terminal-based AI coding agent. You can run it inside a sandbox to give it an isolated environment to work in.

from chalkcompute import SandboxClient

client = SandboxClient.from_env()
sandbox = client.create(
    image="ubuntu:latest",
    cpu="2",
    memory="4Gi",
    env={
        "ANTHROPIC_API_KEY": "sk-ant-...",
    },
)

# Install dependencies
sandbox.exec("apt-get", "update")
sandbox.exec("apt-get", "install", "-y", "git", "curl", "build-essential")

# Install Go (opencode is a Go binary)
sandbox.exec("bash", "-c", "curl -fsSL https://go.dev/dl/go1.26.3.linux-amd64.tar.gz | tar -C /usr/local -xz")
sandbox.exec("bash", "-c", "echo 'export PATH=$PATH:/usr/local/go/bin:/root/go/bin' >> /root/.bashrc")

# Install opencode
sandbox.exec("bash", "-c", "export PATH=$PATH:/usr/local/go/bin:/root/go/bin && go install github.com/opencode-ai/opencode@latest")

# Clone a repo to work on
sandbox.exec("git", "clone", "https://github.com/your-org/your-repo.git", "/workspace/repo")

# Run opencode non-interactively with a prompt
result = sandbox.exec(
    "bash", "-c",
    "export PATH=$PATH:/usr/local/go/bin:/root/go/bin && cd /workspace/repo && opencode -p 'fix the failing tests in pkg/auth'",
    timeout_secs=600,
)
print(result.stdout_text)

# Or run it interactively and feed it commands
process = sandbox.exec_start(
    "bash", "-c",
    "export PATH=$PATH:/usr/local/go/bin:/root/go/bin && cd /workspace/repo && opencode",
)

# Stream its output
for event in process.output():
    if event.stdout:
        print(event.stdout, end="")
    if event.stderr:
        print(event.stderr, end="", file=sys.stderr)
    if event.is_exited:
        break

sandbox.terminate()
client.close()

Long-running build with real-time output

from chalkcompute import SandboxClient

client = SandboxClient.from_env()
sandbox = client.create(image="node:25-trixie-slim")

sandbox.exec("git", "clone", "https://github.com/your-org/frontend.git", "/app")
sandbox.exec("npm", "install", workdir="/app")

# Stream the build output as it happens
for event in sandbox.exec_stream("npm", "run", "build", workdir="/app"):
    if event.stdout:
        print(event.stdout, end="")
    if event.stderr:
        print(event.stderr, end="", file=sys.stderr)
    if event.is_exited and event.exit_code != 0:
        print(f"Build failed with exit code {event.exit_code}")

sandbox.terminate()
client.close()

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (2.11.8)

Owner

PyPI data
Data sourced directly from PyPI's database.

Requires

Python <3.15, >=3.11

Provides Extra

dev

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

chalkcompute-2.9.3.tar.gz (321.8 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

chalkcompute-2.9.3-cp314-cp314-musllinux_1_2_x86_64.whl (5.5 MB view details)

Uploaded CPython 3.14musllinux: musl 1.2+ x86-64

chalkcompute-2.9.3-cp314-cp314-manylinux_2_28_x86_64.whl (5.1 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.28+ x86-64

chalkcompute-2.9.3-cp314-cp314-macosx_11_0_arm64.whl (4.6 MB view details)

Uploaded CPython 3.14macOS 11.0+ ARM64

chalkcompute-2.9.3-cp313-cp313-musllinux_1_2_x86_64.whl (5.5 MB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ x86-64

chalkcompute-2.9.3-cp313-cp313-manylinux_2_28_x86_64.whl (5.1 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.28+ x86-64

chalkcompute-2.9.3-cp313-cp313-macosx_11_0_arm64.whl (4.6 MB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

chalkcompute-2.9.3-cp312-cp312-musllinux_1_2_x86_64.whl (5.5 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ x86-64

chalkcompute-2.9.3-cp312-cp312-manylinux_2_28_x86_64.whl (5.1 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.28+ x86-64

chalkcompute-2.9.3-cp312-cp312-macosx_11_0_arm64.whl (4.6 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

chalkcompute-2.9.3-cp311-cp311-musllinux_1_2_x86_64.whl (5.5 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ x86-64

chalkcompute-2.9.3-cp311-cp311-manylinux_2_28_x86_64.whl (5.1 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ x86-64

chalkcompute-2.9.3-cp311-cp311-macosx_11_0_arm64.whl (4.7 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

File details

Details for the file chalkcompute-2.9.3.tar.gz.

File metadata

  • Download URL: chalkcompute-2.9.3.tar.gz
  • Upload date:
  • Size: 321.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for chalkcompute-2.9.3.tar.gz
Algorithm Hash digest
SHA256 63a4d7b24cab890c35a862cc75420998a85336ae178bd9b1d117081eb44672e5
MD5 881568d4b931bb739bce2860aa27a772
BLAKE2b-256 ff6ce5d7a2c553c890a1529992da240fb0d46539b410b7281d2a02b4b65a5234

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.9.3.tar.gz:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.9.3-cp314-cp314-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.9.3-cp314-cp314-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 13e4b92fde0baaaf51cbd95752f7bf82f4d65ba508fb6640dd6fc97326a25beb
MD5 c7aaaa966bc06ac1e6f4ee2f15bbf68a
BLAKE2b-256 a54285351448be7949b136f685967b284b01611b7fa6e2d5d24f70bd009c6653

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.9.3-cp314-cp314-musllinux_1_2_x86_64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.9.3-cp314-cp314-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.9.3-cp314-cp314-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 f03410d7fcd71aae5fa5f551ad466f90670b997bd05643fa7e030ff0e37a9030
MD5 75e71a7c8c7c5d850d7bf89d07f43f42
BLAKE2b-256 d6af7b823aa487316205120a3771edd0f37ec88a2daa7dabbeb841208d5d3bb4

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.9.3-cp314-cp314-manylinux_2_28_x86_64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.9.3-cp314-cp314-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.9.3-cp314-cp314-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 646d3f4b140dd8054fa1f4a0570eec76857e99525a478a7bbc1c1f37466345c3
MD5 c5556bcbc5bc24a5535e2af3d6c65368
BLAKE2b-256 c5cc718472ce798cea953102a66393d61abe863aecf688c9bf48655878299494

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.9.3-cp314-cp314-macosx_11_0_arm64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.9.3-cp313-cp313-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.9.3-cp313-cp313-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 14ab0cc13ae3ac138627baba4eb5eae6af775d28142df71d7e6d9b3e72b01442
MD5 247affa1081bb50b66c1d3717ad8b746
BLAKE2b-256 cfb18af593cca19f798b18dd571229690250986697c4a43820c1d742dbca7098

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.9.3-cp313-cp313-musllinux_1_2_x86_64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.9.3-cp313-cp313-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.9.3-cp313-cp313-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 02df778445438818313fde71bf28654a737cd31d2831db2ce3f15d1e6010d6b9
MD5 03548b5b2559499ef35fdacb71fe6437
BLAKE2b-256 c2c1312133588b44796ac16d0f1279d539c8fcb5a92ca38fab4dd78ec3b59e91

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.9.3-cp313-cp313-manylinux_2_28_x86_64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.9.3-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.9.3-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 63878c24b07d5f0edbd2e16198b74baa782260c7ce8bb366ce9cd06e6bd542e5
MD5 0c5c901f239ccde03f32e00aa26b80e3
BLAKE2b-256 9123c047ddd347e09463280bb61f01296d9adb1ba2d304f271d6df8044194c9a

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.9.3-cp313-cp313-macosx_11_0_arm64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.9.3-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.9.3-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 ba2c8fe5c3d5c821f38595d3ce0a77e97db5cd214bd890f4bd3d70b5a5a0858f
MD5 2392a6f4fb1be2b3411e3ae3665a5b0d
BLAKE2b-256 6ad2bb45fa992779b438fb3901503efef79fc899117d35d3e75d67ec75e64130

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.9.3-cp312-cp312-musllinux_1_2_x86_64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.9.3-cp312-cp312-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.9.3-cp312-cp312-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 7cac59175df317516375313393a2995dfa3f3b724913ac8835e4d3d62f0e6d07
MD5 18d4cd3b2637fc10a8cfe8129f6dc732
BLAKE2b-256 a616602d98c9d831defa07291e3e1b8002b797d9c9fa6e09e52a0cff27c8ea5e

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.9.3-cp312-cp312-manylinux_2_28_x86_64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.9.3-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.9.3-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 23ddc3e6782881863e55cdf2b10475358c01cf3dfeee3d58d5d5384169250b0e
MD5 6fb5c155f9ef55d2990e661c321f71f3
BLAKE2b-256 7305b53b37dd0d9bec6e7c988a128d35ccbd26e4e750ed45fa5de80d12d7cf3e

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.9.3-cp312-cp312-macosx_11_0_arm64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.9.3-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.9.3-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 1aad40bd56dcb42f6e7cfcc635fec5276093c52407b4979dfee7fb88e695c289
MD5 e8d584bec59a9d0795cdb7dd41de9411
BLAKE2b-256 29dfba25c278a7988962b5cd452605af388422b0b5ed00205b0b17d0eb542573

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.9.3-cp311-cp311-musllinux_1_2_x86_64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.9.3-cp311-cp311-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.9.3-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 5bc7a366c2f32f0fb0460ab6aade1e27af449d7b472765f311f5095f627ecece
MD5 95d645cad622ea5a91f1967771d71c8b
BLAKE2b-256 fc2736229686485e91cbe95d9619f67e70f173281aa18abc1b084f7943c97bbc

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.9.3-cp311-cp311-manylinux_2_28_x86_64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.9.3-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.9.3-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d2b0508d88179bc13b36c61b5398659db2b83183af1fd092c522b235d5607a9c
MD5 abb0a07e5b33a4d00c393fe33cad8bfc
BLAKE2b-256 b5c8c6caab6503550798d921ca02f69c130321f3fcf1b3e1b2e85b96239c3286

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.9.3-cp311-cp311-macosx_11_0_arm64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

2.11.8

13 files

2.11.7

13 files

2.11.6

13 files

2.11.5

13 files

2.11.4

13 files

2.11.3

13 files

2.11.2

13 files

2.11.1

13 files

2.9.8

13 files

2.9.7

13 files

2.9.6

13 files

2.9.5

13 files

2.9.4

13 files

This release

2.9.3 This release

13 files

2.9.2

13 files

2.9.1

13 files

2.9.0

13 files

2.8.1

13 files

2.8.0

13 files

2.7.0

13 files

2.6.2

13 files

2.6.1

9 files

2.5.3

9 files

2.5.2

9 files

2.5.1

9 files

2.5.0

9 files

2.4.1

9 files

2.3.9

9 files

2.3.8

9 files

2.3.7

9 files

2.3.6

9 files

2.3.5

9 files

2.3.4

9 files

2.3.3

9 files

2.3.2

9 files

2.3.1

9 files

2.3.0

9 files

2.2.0

9 files

2.1.8

9 files

2.1.3

9 files

2.1.2

9 files

2.1.1

9 files

2.1.0

9 files

2.0.1

9 files

2.0.0

9 files

1.5.17

9 files

1.5.16

9 files

1.5.15

9 files

1.5.14

9 files

1.5.13

9 files

1.5.12

9 files

1.5.11

9 files

1.5.10

9 files

1.5.9

5 files

1.5.6

5 files

1.5.5

2 files

1.5.3

2 files

1.5.2

2 files

1.5.1

2 files

1.5.0

2 files

1.4.2

2 files

1.4.1

2 files

1.4.0

2 files

1.3.0

2 files

1.2.0

2 files

1.1.1

2 files

1.1.0

2 files

1.0.0

2 files

0.1.1

2 files

0.1.0

2 files

0.0.0

9 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page